Data Engineer – GCP

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EVT

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1999

💼 Consulting

📦 Logistics

🎯 Recruiter

Consulting • Logistics • Recruitment

EVT is a nearshore staff augmentation company that connects global businesses with top-tier IT professionals from Brazil. They specialize in sourcing, vetting, and delivering developers and IT talent aligned to U. S. time zones, offering cost-effective hiring solutions with cultural and language alignment. EVT manages the end-to-end process—candidate search, technical and cultural validation, contracts, onboarding, and ongoing support—serving companies seeking scalable, agile access to Brazilian tech talent.

📋 Description

• Build and maintain batch and streaming data pipelines in a GCP environment • Translate business needs into technical data solutions • Develop pipelines using Dataflow, Dataform, Pub/Sub, Cloud Storage, and BigQuery • Orchestrate pipelines with Cloud Composer/Airflow • Perform data modeling, testing, governance, security, and observability • Own the full delivery lifecycle, from development through deployment and documentation of solutions • Communicate with technical and business teams, including international teams

🎯 Requirements

• Advanced English proficiency for communication with teams based outside Brazil • Availability to work EST (Eastern Standard Time) hours • Experience in Data Engineering with GCP in production environments • Experience with Dataflow, Dataform, Pub/Sub, Cloud Storage, and BigQuery • Advanced knowledge of BigQuery, including partitioning, clustering, performance, and cost optimization • Experience with Cloud Composer/Airflow for pipeline orchestration • Knowledge of data modeling, Data Warehousing, Star Schema, Snowflake Schema, SCD, and Medallion Architecture • Experience with Python, Git, Code Review, Docker, and CI/CD, preferably Cloud Build • Knowledge of data governance, security, and observability on GCP, including Dataplex, IAM, and PII protection • Experience with automated testing, preferably pytest, and data quality practices • Google Professional Data Engineer certification (a plus) • Knowledge of BigLake, Apache Iceberg, and Data Lakehouse architectures (a plus) • Experience with Data Mesh and Data Products (a plus) • Knowledge of SAP ECC, BW, or S/4HANA (a plus) • Knowledge of Data Contracts, Schema Evolution, and observability (a plus) • Experience with GenAI and Vertex AI (a plus) • Experience with Knowledge Transfer (KT) and technical training (a plus) • Strong communication skills with technical and non-technical audiences • Ability to translate business needs into technical solutions • Collaborative mindset for working across different departments and teams • Strong organizational skills for documentation, delivery tracking, and deployment • Ability to work in an international environment, using English on a daily basis

🏖️ Benefits

• Learning incentive programs (Udemy) • Corporate English classes at affordable rates